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Topology optimization based on deep representation learning (DRL) for compliance and stress-constrained design - MaRDI portal

Topology optimization based on deep representation learning (DRL) for compliance and stress-constrained design (Q2205158)

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Topology optimization based on deep representation learning (DRL) for compliance and stress-constrained design
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    Topology optimization based on deep representation learning (DRL) for compliance and stress-constrained design (English)
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    20 October 2020
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    topology optimization
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    minimal compliance
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    density distribution
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    Gaussian kernel
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    deep learning
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    neural network
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    geometry complexity
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    stress constraint
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